Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis

University of California, San Diego

Indexed incrossref

Abstract

This paper provides a review of the literature in on-road vision-based vehicle detection, tracking, and behavior understanding. Over the past decade, vision-based surround perception has progressed from its infancy into maturity. We provide a survey of recent works in the literature, placing vision-based vehicle detection in the context of sensor-based on-road surround analysis. We detail advances in vehicle detection, discussing monocular, stereo vision, and active sensor-vision fusion for on-road vehicle detection. We discuss vision-based vehicle tracking in the monocular and stereo-vision domains, analyzing filtering, estimation, and dynamical models. We discuss the nascent branch of intelligent vehicles…

Citation impact

900
total citations
FWCI
59.10
Percentile
100%
References
217
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer vision
  • Artificial intelligence
  • Stereopsis
  • Monocular vision
  • Sensor fusion
  • Computer science
  • Monocular
  • Perspective (graphical)
UN Sustainable Development Goals
  • Sustainable cities and communities
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